Literature DB >> 25217036

Feasibility of tissue characterization of coronary plaques using 320-detector row computed tomography: comparison with integrated backscatter intravascular ultrasound.

Shigekiyo Takahashi1, Masanori Kawasaki2, Shusaku Miyata3, Keita Suzuki3, Makoto Yamaura3, Takahisa Ido3, Takuma Aoyama3, Hisayoshi Fujiwara1, Shinya Minatoguchi1.   

Abstract

Recently, a new generation of multi-detector row computed tomography (CT) with 320-detector rows (DR) has become available in the clinical settings. The purpose of the present study was to determine the cutoff values of Hounsfield unit (HU) for discrimination of plaque components by comparing HU of coronary plaques with integrated backscatter intravascular ultrasound (IB-IVUS) serving as a gold standard. Seventy-seven coronary atherosclerotic lesions in 77 patients with angina were visualized by both 320-DR CT (Aquilion One, Toshiba, Japan) and IB-IVUS at the same site. To determine the thresholds for discrimination of plaque components, we compared HU with IB values as a gold standard. Optimal thresholds were determined from receiver operating characteristic (ROC) curves analysis. The HU values of lipid pool (n = 115), fibrosis (n = 93), vessel lumen and calcification (n = 73) were 28 ± 19 HU (range -18 to 69 HU), 98 ± 31 HU (44 to 195 HU), 357 ± 65 HU (227 to 534 HU) and 998 ± 236 HU (366 to 1,489 HU), respectively. The thresholds of 56 HU, 210 HU and 490 HU were the most reliable predictors of lipid pool, fibrosis, vessel lumen and calcification, respectively. Lipid volume measured by 320-DR CT was correlated with that measured by IB-IVUS (r = 0.63, p < 0.05), whereas fibrous volume measured by 320-DR CT was not. Lipid volume measured by 320-DR CT was correlated with that measured by IB-IVUS, whereas fibrous volume was not correlated with that measured by IB-IVUS because manual exclusion of the outside of vessel hindered rigorous discrimination between fibrosis and extravascular components.

Entities:  

Keywords:  Computed tomography; Coronary; Plaque; Tissue

Mesh:

Year:  2014        PMID: 25217036     DOI: 10.1007/s00380-014-0577-5

Source DB:  PubMed          Journal:  Heart Vessels        ISSN: 0910-8327            Impact factor:   2.037


  33 in total

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2.  Diagnostic accuracy of 64-slice computed tomography for detecting angiographically significant coronary artery stenosis in an unselected consecutive patient population: comparison with conventional invasive angiography.

Authors:  Mariko Ehara; Jean-Francois Surmely; Masato Kawai; Osamu Katoh; Tetsuo Matsubara; Mitsuyasu Terashima; Etsuo Tsuchikane; Yoshihisa Kinoshita; Tomomichi Suzuki; Tatsuya Ito; Yoshihiro Takeda; Kenya Nasu; Nobuyoshi Tanaka; Akira Murata; Yasuyuki Suzuki; Koyo Sato; Takahiko Suzuki
Journal:  Circ J       Date:  2006-05       Impact factor: 2.993

3.  Tissue characterization of coronary plaques: comparison of integrated backscatter intravascular ultrasound with virtual histology intravascular ultrasound.

Authors:  Munenori Okubo; Masanori Kawasaki; Yoshiyuki Ishihara; Urara Takeyama; Shinji Yasuda; Tomoki Kubota; Shinichiro Tanaka; Takahiko Yamaki; Shinsuke Ojio; Kazuhiko Nishigaki; Genzou Takemura; Masanao Saio; Tsuyoshi Takami; Hisayoshi Fujiwara; Shinya Minatoguchi
Journal:  Circ J       Date:  2008-08-28       Impact factor: 2.993

4.  Angioscopic evaluation of coronary-artery thrombi in acute coronary syndromes.

Authors:  K Mizuno; K Satomura; A Miyamoto; K Arakawa; T Shibuya; T Arai; A Kurita; H Nakamura; J A Ambrose
Journal:  N Engl J Med       Date:  1992-01-30       Impact factor: 91.245

5.  False-positive findings in 320-slice cardiac CT for detection of severe coronary stenosis in comparison with invasive coronary angiography indicate poor prognosis for occurrence of MACE.

Authors:  Masae Uehara; Nobusada Funabashi; Hiroyuki Takaoka; Yoshihide Fujimoto; Yoshio Kobayashi
Journal:  Int J Cardiol       Date:  2014-01-08       Impact factor: 4.164

6.  Contrast enhancement of coronary atherosclerotic plaque: a high-resolution, multidetector-row computed tomography study of pressure-perfused, human ex-vivo coronary arteries.

Authors:  Sandra S Halliburton; Paul Schoenhagen; Anuja Nair; Arthur Stillman; Michael Lieber; E Murat Tuzcu; D Geoffrey Vince; Richard D White
Journal:  Coron Artery Dis       Date:  2006-09       Impact factor: 1.439

7.  Multidetector-row computed tomography and magnetic resonance imaging of atherosclerotic lesions in human ex vivo coronary arteries.

Authors:  Konstantin Nikolaou; Christoph R Becker; Michael Muders; Gregor Babaryka; Juergen Scheidler; Thomas Flohr; Udo Loehrs; Maximilian F Reiser; Zahi A Fayad
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8.  Coronary computed tomography angiography-based coronary risk stratification in subjects presenting with no or atypical symptoms.

Authors:  Shinichiro Fujimoto; Takeshi Kondo; Takahide Kodama; Tadaaki Orihara; Junichi Sugiyama; Makoto Kondo; Akira Endo; Hiroshi Fukazawa; Hideki Nagaoka; Akitsugu Oida; Takanori Ikeda; Junichi Yamazaki; Shinichi Takase; Jagat Narula
Journal:  Circ J       Date:  2012-08-01       Impact factor: 2.993

9.  Non-invasive assessment of plaque rupture by 64-slice multidetector computed tomography--comparison with intravascular ultrasound.

Authors:  Atsushi Tanaka; Kenei Shimada; Ken Yoshida; Satoshi Jissyo; Hidemasa Tanaka; Makoto Sakamoto; Kunio Matsuba; Toshio Imanishi; Takashi Akasaka; Junichi Yoshikawa
Journal:  Circ J       Date:  2008-08       Impact factor: 2.993

10.  Influence of image acquisition settings on radiation dose and image quality in coronary angiography by 320-detector volume computed tomography: the CORE320 pilot experience.

Authors:  Kihei Yoneyama; Andrea L Vavere; Rodrigo Cerci; Rukhsar Ahmed; Andrew E Arai; Hiroyuki Niinuma; Frank J Rybicki; Carlos E Rochitte; Melvin E Clouse; Richard T George; Joao A C Lima; Armin Arbab-Zadeh
Journal:  Heart Int       Date:  2012-06-25
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  7 in total

1.  Comparison between minimum lumen cross-sectional area and intraluminal ultrasonic intensity analysis using integrated backscatter intravascular ultrasound for prediction of functionally significant coronary artery stenosis.

Authors:  Hironori Takami; Shinjo Sonoda; Yoshitaka Muraoka; Toshiya Miura; Akiyoshi Shimizu; Reo Anai; Yoshinori Sanuki; Tetsu Miyamoto; Yasushi Oginosawa; Yoshihisa Fujino; Yuki Tsuda; Masaru Araki; Yutaka Otsuji
Journal:  Heart Vessels       Date:  2018-07-30       Impact factor: 2.037

2.  Coronary lesion characteristics with mismatch between fractional flow reserve derived from CT and invasive catheterization in clinical practice.

Authors:  Kazuhiro Osawa; Toru Miyoshi; Takashi Miki; Yuji Koide; Yusuke Kawai; Kentaro Ejiri; Masatoki Yoshida; Shuhei Sato; Susumu Kanazawa; Hiroshi Ito
Journal:  Heart Vessels       Date:  2016-09-13       Impact factor: 2.037

3.  Impact of malondialdehyde-modified low-density lipoprotein on coronary plaque vulnerability in patients not receiving lipid-lowering therapy: a whole coronary analysis with multislice-computed tomography.

Authors:  Tsuyoshi Ito; Taku Ichihashi; Hiroshi Fujita; Tomonori Sugiura; Nobuyuki Ohte
Journal:  Heart Vessels       Date:  2017-10-24       Impact factor: 2.037

Review 4.  Current Advances in the Diagnostic Imaging of Atherosclerosis: Insights into the Pathophysiology of Vulnerable Plaque.

Authors:  Nataliya V Mushenkova; Volha I Summerhill; Dongwei Zhang; Elena B Romanenko; Andrey V Grechko; Alexander N Orekhov
Journal:  Int J Mol Sci       Date:  2020-04-23       Impact factor: 5.923

5.  CD93 in macrophages: A novel target for atherosclerotic plaque imaging?

Authors:  Chen Su; Yeming Han; Bin Qu; Chao Zhang; Ting Liang; Feng Gao; Guihua Hou
Journal:  J Cell Mol Med       Date:  2022-02-15       Impact factor: 5.310

6.  Quantitative plaque characterisation and association with acute coronary syndrome on medium to long term follow up: insights from computed tomography coronary angiography.

Authors:  Ravi K Munnur; Kevin Cheng; Jordan Laggoune; Andrew Talman; Rahul Muthalaly; Nitesh Nerlekar; Yi-Wei Baey; Jason Nogic; Andrew Lin; James D Cameron; Sujith Seneviratne; Dennis T L Wong
Journal:  Cardiovasc Diagn Ther       Date:  2022-08

Review 7.  Detecting vulnerable carotid plaque and its component characteristics: Progress in related imaging techniques.

Authors:  Shi-Ting Weng; Qi-Lun Lai; Meng-Ting Cai; Jun-Jun Wang; Li-Ying Zhuang; Lin Cheng; Ye-Jia Mo; Lu Liu; Yin-Xi Zhang; Song Qiao
Journal:  Front Neurol       Date:  2022-09-14       Impact factor: 4.086

  7 in total

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